This is an example of artificial neural network using keras and tensorflow at backend
I have used churn modelling dataset. Churn_Modelling.csv
This dataset contains details of customer details of a bank.
In this ANN model I predict that which customer of this bank has the highest probability to leave bank. So, that bank can give more attention towards those customer which are more prior to leave the bank
- Python version used in this project: 3.5+
- Pandas 0.18.0
- Numpy 1.10.4
- TensorFlow 1.4.0
- Keras 2.2.0
code is implemented inside ANN.py